Peter Much
- Food Science top 5%
- Microbiology top 2%
- Biotechnology top 2%
- Infectious Diseases top 10%
- Molecular Biology
- Co-authors
- Franz AllerbergerChristine CittiRenate RosengartenSteliana HuhulescuJuliane PichlerWerner RuppitschL. StipkovitsJoachim Spergser
- Topics
- Salmonella and Campylobacter epidemiology (9 papers)Viral gastroenteritis research and epidemiology (5 papers)Microbial infections and disease research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaInfection and ImmunityEurosurveillance
In The Last Decade
Peter Much
19 papers receiving 712 citations
Peers
Comparison fields: 5 of 70
- Food Science 263
- Microbiology 243
- Biotechnology 224
- Infectious Diseases 195
- Molecular Biology 135
Countries citing papers authored by Peter Much
This map shows the geographic impact of Peter Much's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Much with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Much more than expected).
Fields of papers citing papers by Peter Much
This network shows the impact of papers produced by Peter Much. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Much. The network helps show where Peter Much may publish in the future.
Co-authorship network of co-authors of Peter Much
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Much. A scholar is included among the top collaborators of Peter Much based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Much. Peter Much is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 0 | |
| 3 | [Implementation and results of the EU-wide baseline studies on the prevalence of Salmonella spp. in slaughter and breeding pigs in Austria]. | 2 |
| 4 | 50 | |
| 5 | Prevalence of Salmonella spp. in Austrian broiler flocks in the context of the EU-wide baseline survey 2005-2006. | 5 |
| 6 | 78 | |
| 7 | 89 | |
| 8 | 61 | |
| 9 | 19 | |
| 10 | 50 | |
| 11 | 85 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 29 | |
| 16 | 20 | |
| 17 | 23 | |
| 18 | 62 | |
| 19 | 20 | |
| 20 | 100 |
About Peter Much
Peter Much is a scholar working on Microbiology, Food Science and Biotechnology, having authored 20 papers that have together received 746 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), Viral gastroenteritis research and epidemiology (5 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Microbiology (243 citations), Biotechnology (224 citations) and Food Science (263 citations). Peter Much has collaborated with scholars based in Austria, Germany and Hungary. Frequent co-authors include Franz Allerberger, Christine Citti, Renate Rosengarten, Steliana Huhulescu, Juliane Pichler, Werner Ruppitsch, L. Stipkovits, Joachim Spergser, Ariane Pietzka and R. Fretz. Their work appears in journals such as SHILAP Revista de lepidopterología, Infection and Immunity and Eurosurveillance.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.